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Artificial Intelligence Cognitive Science Jobs in California

Dlapiper

Data Scientist

San Francisco, CA · On-site +1

A specialization in machine-learning, artificial intelligence, cognitive science or data science is preferred. Must be self-driven, curious and creative. * Experience must include creating and using ...

Dlapiper

Data Scientist

San Diego, CA · On-site +1

A specialization in machine-learning, artificial intelligence, cognitive science or data science is preferred. Must be self-driven, curious and creative. * Experience must include creating and using ...

Dlapiper

Data Scientist

Los Angeles, CA · On-site +1

A specialization in machine-learning, artificial intelligence, cognitive science or data science is preferred. Must be self-driven, curious and creative. * Experience must include creating and using ...

Dlapiper

Data Scientist

Palo Alto, CA · On-site +1

A specialization in machine-learning, artificial intelligence, cognitive science or data science is preferred. Must be self-driven, curious and creative. * Experience must include creating and using ...

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Artificial Intelligence Cognitive Science information

See California salary details

$10.9K

$101.6K

$131.3K

How much do artificial intelligence cognitive science jobs pay per year?

As of Sep 2, 2026, the average yearly pay for artificial intelligence cognitive science in California is $101,590.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $130,800.00 per year, depending on experience, location, and employer.

What is an artificial intelligence cognitive science?

An Artificial Intelligence Cognitive Science job involves studying and developing AI systems that mimic human cognition, such as learning, reasoning, and problem-solving. Professionals in this field combine insights from computer science, psychology, neuroscience, and linguistics to create intelligent systems. They work on machine learning models, natural language processing, and human-computer interaction to enhance AI capabilities. These roles are found in industries like tech, healthcare, robotics, and finance, where cognitive AI improves decision-making and automation.

What are the typical projects and day-to-day responsibilities for someone working in artificial intelligence cognitive science?

Professionals in Artificial Intelligence Cognitive Science often work on projects that involve designing algorithms to simulate cognitive processes, analyzing large sets of behavioral or neural data, and building models that integrate AI with insights from human cognition. Day-to-day responsibilities usually include coding and testing AI models, collaborating with neuroscientists or psychologists, conducting experiments, and reporting on findings. You might also participate in interdisciplinary meetings to align product development with current cognitive research and contribute to academic publications or conferences. This role offers a dynamic and intellectually stimulating environment, with plenty of opportunities to tackle complex problems and influence the future of AI-driven technologies.

What are the key skills and qualifications needed to thrive in artificial intelligence cognitive science, and why are they important?

To thrive in Artificial Intelligence Cognitive Science, a candidate needs a strong background in computer science, cognitive psychology, and machine learning, often supported by advanced degrees in these areas. Familiarity with programming languages such as Python, R, or MATLAB, experience with data analysis tools, and knowledge of AI frameworks like TensorFlow or PyTorch are typically required. Excellent problem-solving skills, curiosity, and the ability to communicate complex ideas to both technical and non-technical audiences are highly valued soft skills. These competencies enable professionals to bridge the gap between human cognition and AI, driving innovation and effective collaboration in multidisciplinary teams.

What jobs can I get with artificial intelligence cognitive science?

With a background in artificial intelligence cognitive science, common job roles include AI researcher, machine learning engineer, data scientist, cognitive systems designer, and AI product manager. These roles often require skills in programming, data analysis, and understanding human cognition, and may involve working with tools like Python, TensorFlow, or neural networks in research labs, tech companies, or healthcare settings.

What are the most commonly searched types of Artificial Intelligence Cognitive Science jobs in California?

The most popular types of Artificial Intelligence Cognitive Science jobs in California are:

What are popular job titles related to Artificial Intelligence Cognitive Science jobs in California?

For Artificial Intelligence Cognitive Science jobs in California, the most frequently searched job titles are:

What job categories do people searching Artificial Intelligence Cognitive Science jobs in California look for?

The top searched job categories for Artificial Intelligence Cognitive Science jobs in California are:

What cities in California are hiring for Artificial Intelligence Cognitive Science jobs?

Cities in California with the most Artificial Intelligence Cognitive Science job openings:

Artificial Intelligence Cognitive Science jobs near you
Infographic showing various Artificial Intelligence Cognitive Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, and 2% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $101,590 per year, or $48.8 per hour.

Evaluation & Insights Machine Learning Engineer

Apple

Cupertino, CA • On-site

Full-time

Re-posted 27 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 680 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Imagine what you could do here. At Apple, great new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish!
Are you passionate about music, movies, and the world of Artificial Intelligence and Machine Learning? So are we! Join our Human-Centered AI team for Apple Products. In this role, you'll represent the user perspective on new features, review and analyze data, and evaluate AI models powering everything from search and recommendations to other innovative features. Collaborate with Data Scientists, Researchers, and Engineers to drive improvements across our platforms.
Description
We are looking for an Evaluation & Insights Engineer for the Human-Centered AI team to help evaluate and improve AI systems by combining data science, model behavior analysis, and qualitative insights. In this role, you will analyze AI outputs, develop evaluation frameworks, design qualitative, and translate findings into actionable improvements for product and engineering teams. This role blends deep technical expertise with strong analytical judgment to assess, interpret, and improve the behavior of advanced AI models. You will work cross-functionally with the Engineering and Project Managers, Product, and Research teams to ensure that AI experience is reliable, safe, and aligned with human expectations.
Minimum Qualifications
Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Cognitive Science, or a related technical field
8+ years of relevant industry experience in ML Engineering or Applied Research.
Advanced proficiency in Python and modern deep learning ecosystems (PyTorch, JAX, Hugging Face).
Proven experience building scalable ML inference pipelines, model-evaluation workflows, and structured rating frameworks for large-scale AI systems.
Strong ability to interpret unstructured model outputs (text, transcripts, embedding spaces) and synthesize qualitative findings into actionable engineering guidance and training objectives.
Hands-on experience developing, fine-tuning, or evaluating LLMs, multimodal models, and NLP systems.
Deep familiarity with AI quality metrics, hallucination detection techniques (e.g., SelfCheckGPT), model alignment (RLHF/DPO), and LLM-as-a-judge frameworks (e.g., G-Eval, DeepEval).
Experience building internal tools or automated pipelines for ML workflows using tools like MLflow, Weights & Biases, or similar platforms.
Strong familiarity with advanced prompt engineering, RAG architectures (vector databases, semantic search), and Fine-Tuning .
Preferred Qualifications
Knowledge of human factors, HCI, or cognitive science methodologies as applied to AI system design.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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